|
|
- 현희 남궁
- 6 years ago
- Views:
Transcription
1 M I N I S T R Y O F F O O D A N D D R U G S A F E T Y
2
3 머리말
4
5 목 차 CODEX 분석용어가이드라인 서론 3 분석용어정의 4 첨부 Ⅰ. 분석분야에사용되는용어비교 33 Ⅱ. GUIDELINES ON ANALYTICAL TERMINOLOGY (CAC/GL ) 39 색인 57
6
7 CODEX 분석용어가이드라인
8
9 서론 3
10 분석용어정의 Accuracy ( 정확도 ) Analyte ( 분석물질 ) Applicability ( 적용가능성 ) 4
11 Bias ( 편향성 / 바이어스 ) Calibration ( 교정 ) 5
12 Certified reference material, CRM ( 인증표준물질 ) Conventional quantity value ( 협정값 ) 6
13 Critical value, L C ( 임계값 ) α α α 7
14 Defining (empirical/conventional) method of analysis [ 분석법의 ( 경험적 / 관례적 ) 규정 ] Error ( 오차 ) Expanded measurement uncertainty ( 확장측정불확도 ) 8
15 Fitness for purpose ( 합목적성 ) HorRat ( 호렛값 ) 9
16 Inter-laboratory study ( 실험실간비교시험 ) Laboratory-performance (proficiency) study [ 검사능력 ( 숙련도 ) 평가 ] 10
17 Limit of detection, LOD ( 검출한계 ) β α β α σ α β σ 11
18 α β σ Limit of quantification, LOQ ( 정량한계 ) σ σ σ σ σ σ σ σ α β 12
19 Linearity ( 직선성 ) Material-certification Study ( 시료인증연구 ) Measurand ( 측정량 ) 13
20 Measurement method ( 측정방법 ) Measurement procedure ( 측정절차 ) 14
21 Measurement uncertainty ( 측정불확도 ) 15
22 Method-performance study ( 분석법성능시험 ) Metrological traceability ( 측정소급성 ) 16
23 Outlier ( 이상값 ) 17
24 18
25 Precision ( 정밀도 ) Quality assurance ( 품질보증 ) 19
26 Rational method of analysis ( 합리적분석법 ) Recovery/recovery factors ( 회수 / 회수율 ) 20
27 Reference material ( 표준물질 ) Reference value ( 기준값 ) 21
28 Repeatability (reproducibility) [ 반복성 ( 재현성 )] Repeatability conditions ( 반복성조건 ) 22
29 Repeatability (reproducibility) limit [ 반복성 ( 재현성 ) 한계치 ] σ Repeatability (reproducibility) standard deviation ( 반복성 ( 재현성 ) 표준편차 ) 23
30 Repeatability (reproducibility) relative standard deviation (coefficient of variation) [ 반복성 ( 재현성 ) 상대표준편차 ( 변동계수 )] Reproducibility conditions ( 재현성조건 ) Result ( 결과 ) 24
31 Robustness (ruggedness) ( 완건성 ( 둔감도 )) 25
32 Selectivity ( 선택성 ) Sensitivity ( 민감도 ) Surrogate ( 대체물 ) 26
33 Systematic error ( 계통오차 ) Trueness ( 진도 ) True value ( 참값 ) 27
34 Validation ( 밸리데이션 / 유효화 ) Validated test method ( 밸리데이션된시험법 ) 28
35 Validated range ( 밸리데이션된범위 ) Verification ( 검증 ) 29
36
37 첨부 Ⅰ. 분석분야에사용되는용어비교 Ⅱ. GUIDELINES ON ANALYTICAL TERMINOLOGY (CAC/GL )
38
39 Ⅰ. 분석분야에사용되는용어비교 영문 위해분석용어 의약품등시험방법 해설집 밸리데이션에대한 가이드라인해설서 2) 과학기술용어집 3) 한국표준과학연구원 기술표준원 KS CODEX 측정학용어사전 4) 용어 5) 규정번역본 6) 번역본
40 영문 위해분석용어 의약품등시험방법 해설집 밸리데이션에대한 가이드라인해설서 2) 과학기술용어집 3) 한국표준과학연구원 기술표준원 KS CODEX 측정학용어사전 4) 용어 5) 규정번역본 6) 번역본
41 영문 위해분석용어 의약품등시험방법 해설집 밸리데이션에대한 가이드라인해설서 2) 과학기술용어집 3) 한국표준과학연구원 기술표준원 KS CODEX 측정학용어사전 4) 용어 5) 규정번역본 6) 번역본
42 영문 위해분석용어 의약품등시험방법 해설집 밸리데이션에대한 가이드라인해설서 2) 과학기술용어집 3) 한국표준과학연구원 기술표준원 KS CODEX 측정학용어사전 4) 용어 5) 규정번역본 6) 번역본
43 영문 위해분석용어 의약품등시험방법 해설집 밸리데이션에대한 가이드라인해설서 2) 과학기술용어집 3) 한국표준과학연구원 기술표준원 KS CODEX 측정학용어사전 4) 용어 5) 규정번역본 6) 번역본 1) 식품의약품안전청, ) 식품의약품안전청, ) 한국과학기술한림원, ) 한국표준과학연구원 ( 5) 기술표준원 ( 6) 보건복지가족부 식품의약품안전청, 2008
44
45 CAC/GL Page 1 of 18 GUIDELINES ON ANALYTICAL TERMINOLOGY (CAC/GL ) INTRODUCTION The Codex Committee on Methods of Analysis and Sampling has agreed on Analytical Terminology for Codex Alimentarius and government use. A number of these terms were previously included in the Codex Procedural Manual. In most cases terms used in the Procedural Manual were adopted over time with an underlying hierarchy and can be traced verbatim to specific editions of ISO 3534, the GUM, the VIM, the IUPAC Orange Book or other international standards already adopted by Codex. Definitions of terms that have changed with newer editions of the international standards from which they were originally adopted have been updated preserving the original hierarchy found in the Procedural Manual. In cases where terms have been added in addition to those originally found in the procedural manual an effort has been made to preserve the conceptual continuity and relationship of the newer terms with extant ones. These terms, together with the terms which are included in specific International Protocols/Guidelines already adopted by Codex by reference are given below. ANALYTICAL TERMS The following analytical terms are defined below: Accuracy Analyte Applicability Bias Calibration Certified reference material Conventional quantity value Critical value Defining (Empirical) method of analysis Error Expanded measurement uncertainty Fitness for purpose HorRat Inter-laboratory study Laboratory performance (Proficiency) study Limit of detection Limit of quantification Linearity Material certification study Measurand Measurement method Measurement procedure Measurement uncertainty
46 CAC/GL Page 2 of 18 Method-performance study Metrological Traceability Outlier Precision Quality assurance Rational method of analysis Recovery/recovery factors Reference material Reference value Repeatability (Reproducibility) Repeatability conditions Repeatability (Reproducibility) limit Repeatability (Reproducibility) standard deviation Repeatability (Reproducibility relative standard deviation Reproducibility conditions Result Robustness (ruggedness) Selectivity Sensitivity Surrogate Systematic error Trueness True value Validated range Validated Test Method Validation Verification
47 CAC/GL Page 3 of 18 DEFINITIONS OF ANALYTICAL TERMS Accuracy: The closeness of agreement between a test result or measurement result and a reference value. Notes: The term accuracy, when applied to a set of test results or measurement results, involves a combination of random components and a common systematic error or bias component. When applied to a test method, the term accuracy refers to a combination of trueness and precision. ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 Analyte: The chemical substance sought or determined in a sample. Note: This definition does not apply to molecular biological analytical methods. Codex Guidelines on Good Laboratory Practice in Residue Analysis (CAC/GL ) Applicability: the analytes, matrices, and concentrations for which a method of analysis may be used satisfactorily. Note: In addition to a statement of the range of capability of satisfactory performance for each factor, the statement of applicability (scope) may also include warnings as to known interference by other analytes, or inapplicability to certain matrices and situations. Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007 Bias: The difference between the expectation of the test result or measurement result and the true value. In practice conventional quantity value (VIM, 2007) can be substituted for true value. Notes: Bias is the total systematic error as contrasted to random error. There may be one or more systematic error components contributing to bias. A larger systematic difference from the accepted reference value is reflected by a larger bias value. The bias of a measuring instrument is normally estimated by averaging the error of indication over the appropriate number of repeated measurements. The error of indication is the: indication of a measuring instrument minus a true value of the corresponding input quantity. Expectation is the expected value of a random variable, e.g. assigned value or long term average {ISO } ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 Calibration: Operation that, under specified conditions, in a first step, establishes a relation between the values with measurement uncertainties provided by measurement standards and corresponding indications with associated measurement uncertainties and in a second step uses this information to establish a relation for obtaining a measurement result from an indication. Notes: A calibration may be expressed by a statement, calibration function, calibration diagram, calibration curve, or calibration table. In some cases it may consist of an additive or multiplicative correction of the indication with associated measurement uncertainty. Calibration should not be confused with adjustment of a measuring system often mistakenly called self calibration, or with verification of calibration.
48 CAC/GL Page 4 of 18 Often the first step alone in the above definition is perceived as being calibration. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Certified reference material (CRM): Reference material accompanied by documentation issued by an authoritative body and providing one or more specified property values with associated uncertainties and traceability, using valid procedures Notes: Documentation is given in the form of a certificate (see ISO guide 30:1992). Procedures for the production and certification of certified reference materials are given, e.g. in ISO Guide 34 and ISO Guide 35. In this definition, uncertainty covers both measurement uncertainty and uncertainty associated with the value of the nominal property, such as for identity and sequence. Traceability covers both metrological traceability of a value and traceability of a nominal property value. Specified values of certified reference materials require metrological traceability with associated measurement uncertainty {Accred. Qual. Assur., 2006} ISO/REMCO has an analogous definition {Accred. Qual. Assur., 2006} but uses the modifiers metrological and metrologically to refer to both quantity and nominal properties. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 New definitions on reference materials, Accreditation and Quality Assurance, 10: , 2006 Conventional quantity value: quantity value attributed by agreement to a quantity for a given purpose. Notes: The term conventional true quantity value is sometimes used for this concept, but its use is discouraged. Sometimes a conventional quantity value is an estimate of a true quantity value. A conventional quantity value is generally accepted as being associated with a suitably small measurement uncertainty, which might be zero. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Critical value (L C ): The value of the net concentration or amount the exceeding of which leads, for a given error probability, to the decision that the concentration or amount of the analyte in the analyzed material is larger than that in the blank material. It is defined as: Pr ( >L C L=0) Where is the estimated value, L is the expectation or true value and L C is the critical value. Notes: The definition of critical value is important for defining the Limit of Detection (LOD). The critical value L c is estimated by L C = t 1- s o, Where t 1- is Student's-t, based on degrees of freedom for a one-sided confidence interval of 1-and s o is the sample standard deviation. If L is normally distributed with known variance, i.e. with the default of 0.05, L C = 1.645s o.
49 CAC/GL Page 5 of 18 A result falling below the L C triggering the decision not detected should not be construed as demonstrating analyte absence. Reporting such a result as zero or as < LOD is not recommended. The estimated value and its uncertainty should always be reported. References: ISO Standard 11843: Capability of Detection-1, ISO, Geneva, 1997 Nomenclature in evaluation of analytical methods, IUPAC, 1995 Defining (empirical/conventional) method of analysis: A method in which the quantity measured is defined by the result found on following the stated procedure. Notes: Empirical methods are used for purposes that cannot be covered by rational methods. Bias in empirical methods is conventionally zero. Harmonised guidelines for single-laboratory validation of methods of analysis, 2002 Error: Measured quantity value minus a reference quantity value. Note: The concept of measurement error can be used both: when there is a single reference value to refer to, which occurs if a calibration is made by means of a measurement standard with a measured value having a negligible measurement uncertainty or if a conventional value is given, in which case the measurement error is not known and if a measurand is supposed to be represented by a unique true value or a set of true values of negligible range, in which case the measurement error is not known. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Expanded measurement uncertainty: product of a combined standard measurement uncertainty and a factor larger than the number one Notes: The factor depends upon the type of probability distribution of the output quantity in a measurement model and on the selected coverage probability. The term factor in this definition refers to a coverage factor. Expanded measurement uncertainty is also termed expanded uncertainty. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Fitness for purpose: Degree to which data produced by a measurement process enables a user to make technically and administratively correct decisions for a stated purpose. Eurachem Guide: The fitness for purpose of analytical methods: A laboratory guide to method validation and related topics, 1998 HorRat: The ratio of the reproducibility relative standard deviation to that calculated from the Horwitz equation, Predicted relative standard deviation (PRSD) R =2C : HorRat(R) = RSD R /PRSD R, HorRat(r) = RSD r /PRSD R
50 CAC/GL Page 6 of 18 Where C is concentration expressed as a mass fraction (both numerator and denominator expressed in the same units). Notes: The HorRat is indicative of method performance for a large majority of methods in chemistry. Normal values lie between 0.5 and 2. (To check proper calculation of PRSD R, a C of 10-6 should give a PRSD R of 16 %.) If applied to within-laboratory studies, the normal range of HorRat(r) is For concentrations less than 0.12 mg/kg the predicted relative standard deviation developed by Thompson (The Analyst, 2000), 22% should be used. References: A simple method for evaluating data from an inter-laboratory study, J AOAC, 81(6): , 1998 Recent trends in inter-laboratory precision at ppb and sub-ppb concentrations in relation to fitness for purpose criteria in proficiency testing, The Analyst, 125: , 2000 Inter-laboratory study: A study in which several laboratories measure a quantity in one or more identical portions of homogeneous, stable materials under documented conditions, the results of which are compiled into a single document. Notes: The larger the number of participating laboratories, the greater the confidence that can be placed in the resulting estimates of the statistical parameters. The IUPAC-1987 protocol (Pure & Appl. Chem., 66, (1994)) requires a minimum of eight laboratories for method-performance studies. th Codex Alimentarius Commission, Procedural Manual, 17 Edition, 2007 Laboratory-performance (proficiency) study: An inter-laboratory study that consists of one or more measurements by a group of laboratories on one or more homogeneous, stable, test samples by the method selected or used by each laboratory. The reported results are compared with those from other laboratories or with the known or assigned reference value, usually with the objective of improving laboratory performance. Notes: Laboratory-performance studies can be used to support laboratory accreditation of laboratories or to audit performance. If a study is conducted by an organization with some type of management control over the participating laboratories: organizational, accreditation, regulatory or contractual, the method may be specified or the selection may be limited to a list of approved or equivalent methods. In such situations, a single test sample is insufficient to judge performance. A laboratory-performance study may be used to select a method of analysis that will be used in a methodperformance study. If all laboratories, or a sufficiently large subgroup, of laboratories, use the same method, the study may also be interpreted as a method-performance study, provided that the test samples cover the range of concentration of the analyte. Laboratories of a single organization with independent facilities, instruments, and calibration materials, are treated as different laboratories. Codex Alimentarius Commission, Procedural Manual, 17 Edition, 2007 th
51 CAC/GL Page 7 of 18 Limit of Detection (LOD): The true net concentration or amount of the analyte in the material to be analyzed which will lead, with probability (1- ), to the conclusion that the concentration or amount of the analyte in the analyzed material is larger than that in the blank material. It is defined as: Pr ( L C L=LOD) = Where is the estimated value, L is the expectation or true value and L C is the critical value. Notes: The limit of detection LOD is estimated by, LOD 2t 1- o [where =, Where t 1- is Student's-t, based on degrees of freedom for a one-sided confidence interval of 1-and o is the standard deviation of the true value (expectation). LOD = 3.29 o, when the uncertainty in the mean (expected) value of the blank is negligible, = = 0.05 and L is normally distributed with known constant variance. However, LOD is not defined simply as a fixed coefficient (e.g. 3, 6, etc.) times the standard deviation of a pure solution background. To do so can be extremely misleading. The correct estimation of LOD must take into account degrees of freedom, and, and the distribution of L as influenced by factors such as analyte concentration, matrix effects and interference. This definition provides a basis for taking into account exceptions to simple case that is described, i.e. involving non-normal distributions and heteroscedasticity (e.g. counting (Poisson) processes as those used for real time PCR). It is essential to specify the measurement process under consideration, since distributions, s and blanks can be dramatically different for different measurement processes. At the limit of detection, a positive identification can be achieved with reasonable and/or previously determined confidence in a defined matrix using a specific analytical method. References: ISO Standard 11843: Capability of Detection-1, ISO, Geneva, 1997 Nomenclature in evaluation of analytical methods, IUPAC, 1995 Guidance document on pesticide residue analytical methods, Organization for Economic Cooperation and Development, 2007 Limit of Quantification (LOQ): A method performance characteristic generally expressed in terms of the signal or measurement (true) value that will produce estimates having a specified relative standard deviation (RSD), commonly 10% (or 6%). LOQ is estimated by: LOQ = k Q Q, k Q = 1/RSD Q Where LOQ is the limit of quantification, Q is the standard deviation at that point and k Q is the multiplier whose reciprocal equals the selected RSD. (The approximate RSD of an estimated, based on -degrees of freedom is 1/ 2 Notes: If is known and constant, then Q = o, since the standard deviation of the estimated quantity is independent of concentration. Substituting 10% in for k Q gives: LOQ = (10 * Q ) = 10 o In this case, the LOQ is just 3.04 times the limit of detection, given normality and = = 0.05 At the LOQ, a positive identification can be achieved with reasonable and/or previously determined confidence in a defined matrix using a specific analytical method. This definition provides a basis for taking into account exceptions to the simple case that is described, i.e. involving non-normal distributions and heteroscedasticity (e.g. counting (Poisson) processes as those used for real time PCR).
52 CAC/GL Page 8 of 18 References: Nomenclature in evaluation of analytical methods, IUPAC, 1995 Guidance document on pesticide residue analytical methods, Organization for Economic Co-operation and Development, 2007 Linearity: The ability of a method of analysis, within a certain range, to provide an instrumental response or results proportional to the quantity of analyte to be determined in the laboratory sample. This proportionality is expressed by an a priori defined mathematical expression. The linearity limits are the experimental limits of concentrations between which a linear calibration model can be applied with an acceptable uncertainty. Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007 Material-Certification Study: An inter-laboratory study that assigns a reference value ( true value ) to a quantity (concentration or property) in the test material, usually with a stated uncertainty. Note: A material-certification study often utilizes selected reference laboratories to analyse a candidate reference material by a method(s) judged most likely to provide the least-biased estimates of concentration (or of a characteristic property) and the smallest associated uncertainty. Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007 Measurand: Quantity intended to be measured. Notes: The specification of a measurand requires knowledge of the kind of quantity, description of the state of the substance carrying the quantity, including any relevant component and the chemical entities involved. In chemistry, analyte or the name of a substance or compound are terms sometime used for measurand. This usage is erroneous because these terms do not refer to quantities. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Measurement method: Generic description of a logical organization of operations used in a measurement. Note: Measurement methods may be qualified in various ways such as: substitution measurement method, differential measurement method, and null measurement method; or direct measurement method, and indirect measurement method. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Measurement procedure: Detailed description of a measurement according to one or more measurement principles and to a given measurement method, based on a measurement model and including any calculation to obtain a result. Notes: A measurement procedure is usually documented in sufficient detail to enable an operator to perform a measurement. A measurement procedure can include a statement concerning a target measurement uncertainty. A measurement procedure is sometimes called a standard operating procedure (SOP).
53 CAC/GL Page 9 of 18 VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Measurement uncertainty: Non-negative parameter characterizing the dispersion of the values being attributed to a measurand, based on the information used. Notes: Measurement uncertainty includes components arising from systematic effects, such as components associated with corrections and the assigned values of measurement standards, as well as the definitional uncertainty. Sometimes estimated systematic effects are not corrected for but, instead associated measurement uncertainty components are incorporated. The parameter may be, for example, a standard deviation called standard measurement uncertainty (or a given multiple of it), or the half-width of interval having a stated coverage probability. Measurement uncertainty comprises, in general many components. Some of these components may be evaluated by Type A evaluation of measurement uncertainty from the statistical distribution of the values from a series of measurements and can be characterized by experimental standard deviations. The other components which may be evaluated by Type B evaluation of measurement uncertainty can also be characterized by standard deviations, evaluated from assumed probability distributions based on experience or other information. In general, for a given set of information, it is understood that the measurement uncertainty is associated with a stated quality value attributed to the measurand. A modification of this value results in a modification of the associated uncertainty. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Method-Performance Study: An inter-laboratory study in which all laboratories follow the same written protocol and use the same test method to measure a quantity in sets of identical test samples. The reported results are used to estimate the performance characteristics of the method. Usually these characteristics are within-laboratory and among-laboratories precision, and when necessary and possible, other pertinent characteristics such as systematic error, recovery, internal quality control parameters, sensitivity, limit of quantification, and applicability. Notes: The materials used in such a study of analytical quantities are usually representative of materials to be analyzed in actual practice with respect to matrices, amount of test component (concentration), and interfering components and effects. Usually the analyst is not aware of the actual composition of the test samples but is aware of the matrix. The number of laboratories, number of test samples, number of determinations, and other details of the study are specified in the study protocol. Part of the study protocol is the procedure which provides the written directions for performing the analysis. The main distinguishing feature of this type of study is the necessity to follow the same written protocol and test method exactly. Several methods may be compared using the same test materials. If all laboratories use the same set of directions for each method and if the statistical analysis is conducted separately for each method, the study is a set of method-performance studies. Such a study may also be designated as a method-comparison study. Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007 Metrological Traceability: Property of a measurement result whereby the result can be related to a reference through a documented unbroken chain of calibrations, each contributing to the stated measurement uncertainty.
54 CAC/GL Page 10 of 18 Notes: A reference can be a definition of a measurement unit through its practical realization, or a measurement procedure including the measurement unit for a non-ordinal quantity, or a measurement standard. Metrological traceability requires an established calibration hierarchy. Specification of the reference must include the time at which this reference was used in establishing the calibration hierarchy, along with any other relevant metrological information about the reference, such as when the first calibration in the calibration hierarchy was performed. For measurements with more than one input quantity each of the input values should itself be traceable and the calibration hierarchy involved may form a branched structure or network. The effort involved in establishing the metrological traceability for each input value should be commensurate with its relative contribution to the measurement result. Metrological traceability of a measurement result does not ensure that the measurement uncertainty is adequate for a given purpose or that there is an absence of mistakes. A comparison between two measurement standards may be viewed as a calibration if the comparison is used to check and if necessary correct the value and measurement uncertainty of the measurement standards. The ILAC considers the elements for confirming metrological to be an unbroken metrological traceability chain to an international measurement standard or a national measurement standard, a documented procedure, accredited technical competence, metrological to the SI and calibration intervals (see ILAC P- 10:2002) The abbreviated term traceability is sometimes used to mean metrological traceability as well as other concepts, such as sample traceability or document traceability or instrument traceability or material traceability, where history (trace) is meant. Therefore the full term of metrological traceability is preferred if there is any risk of confusion. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Harmonized guidelines for internal quality control in analytical chemistry laboratories, 1995 ILAC P-10, 2002 Outlier: A member of a set of values which is inconsistent with other members of that set Note: The following practice is recommended for dealing with outliers. a) Tests such as Cochran s or Grubb s tests are applied to identify stragglers or outliers: - if the test statistic is less than or equal to its 5 % critical value, the item tested is accepted as correct; - if the test statistic is greater than its 5 % critical value and less than or equal to its 1 % critical value, the item tested is called a straggler and is indicated by a single asterisk; - if the test statistic is greater than its 1 % critical value, the item is called a statistical outlier and is indicated by a double asterisk. b) It is next investigated whether the stragglers and/or statistical outliers can be explained by some technical error, for example: - a slip in performing the measurement, - an error in computation, - a simple clerical error in transcribing a test result, - analysis of the wrong sample. Where the error was one of the computation or transcription type, the suspect result should be replaced by the correct value; where the error was from analyzing a wrong sample, the result should be placed in its correct cell. After such correction has been made, the examination for stragglers or outliers should be repeated. If the explanation of the technical error is such that it proves impossible to replace the suspect
55 CAC/GL Page 11 of 18 test result, then it should be discarded as a genuine outlier that does not belong to the experiment proper. c) When any stragglers and/or statistical outliers remain that have not been explained or rejected as belonging to an outlying laboratory, the stragglers are retained as correct items and the statistical outliers are discarded unless the statistician for good reason decides to retain them. References: ISO Standard : Accuracy (trueness and precision) of measurement methods and results Part 1: General principles and definitions, ISO, Geneva, 1994 ISO Standard : Accuracy (trueness and precision) of measurement methods and results Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method, ISO, Geneva, 1994 Precision: The closeness of agreement between independent test/measurement results obtained under stipulated conditions. Notes: Precision depends only on the distribution of random errors and does not relate to the true value or to the specified value. The measure of precision is usually expressed in terms of imprecision and computed as a standard deviation of the test results. Less precision is reflected by a larger standard deviation. Quantitative measures of precision depend critically on the stipulated conditions. Repeatability and reproducibility conditions are particular sets of extreme conditions. Intermediate conditions between these two extreme conditions are also conceivable, when one or more factors within a laboratory (intra-laboratory e.g. the operator, the equipment used, the calibration of the equipment used, the environment, the batch of reagent and the elapsed time between measurements) are allowed to vary and are useful in specified circumstances. Precision is normally expressed in terms of standard deviation. ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 ISO Standard : Accuracy (trueness and precision) of measurement methods and results Part 3: Intermediate measures of the precision of a standard measurement method, ISO, Geneva, 1994 Quality assurance: All those planned and systematic actions necessary to provide adequate confidence that analytical results will satisfy given requirements for quality. Harmonized guidelines for internal quality control in analytical chemistry laboratories, 1995 Rational method of analysis: A method that determines an identifiable chemical(s) or analytes(s) for which there may be several equivalent methods of analysis available. Harmonized guidelines for the use of recovery information in analytical measurement, 1998 ISO/IEC Guide 17025:2005: General requirements for the competence of calibration and testing laboratories, ISO, Geneva, 2005 Recovery/recovery factors: Proportion of the amount of analyte, present in, added to or present in and added to the analytical portion of the test material, which is presented for measurement. Notes: Recovery is assessed by the ratio R = C obs / C ref of the observed concentration or amount C obs obtained by the application of an analytical procedure to a material containing analyte at a reference level C ref.
56 CAC/GL Page 12 of 18 C ref will be: (a) a reference material certified value, (b) measured by an alternative definitive method, (c) defined by a spike addition or (d) marginal recovery. Recovery is primarily intended for use in methods that rely on transferring the analyte from a complex matrix into a simpler solution, during which loss of analyte can be anticipated. Harmonized guidelines for the use of recovery information in analytical measurement, 1998 Use of the terms recovery and apparent recovery in analytical procedures, 2002 Reference material: Material, sufficiently homogeneous and stable with respect to one or more specified properties, which has been established to be fit for its intended use in a measurement process or in examination of nominal properties. Notes: Examination of a nominal property provides a nominal property value and associated uncertainty. This uncertainty is not a measurement uncertainty. Reference materials with or without assigned values can be used for measurement precision control whereas only reference materials with assigned values can be used for calibration and measurement trueness control. Some reference materials have assigned values that are metrologically traceable to a measurement unit outside a system of units. In a given measurement, a given reference material can only be used for either calibration or quality assurance. The specification of a reference material should include its material traceability, indicating its origin and processing. {Accred. Qual. Assur., 2006} ISO/REMCO has an analogous definition that uses the term measurement process to mean examination which covers both measurement of a quantity and examination of a nominal property. References: VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 New definitions on reference materials, Accred. Qual. Assur., 10: , 2006 Reference value: Quantity value used as a basis of comparison with values of quantity of the same kind. Notes: A reference quantity value can be a true quantity value of a measurand, in which case it is unknown, or a conventional quantity value in which case it is known. A reference quantity value with an associated measurement uncertainty is usually provided with reference to a) a material, e.g. a certified reference material b) a reference measurement procedure c) a comparison of measurement standards. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Repeatability (Reproducibility): Precision under repeatability (reproducibility) conditions. ISO Statistics, vocabulary and symbols-part 1: Probability and general statistical terms, ISO, 1993 ISO Standard 78-2: Chemistry Layouts for Standards Part 2: Methods of Chemical Analysis, 1999) Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007
57 CAC/GL Page 13 of 18 AOAC International methods committee guidelines for validation of qualitative and quantitative food microbiological official methods of analysis, Repeatability conditions: Observation conditions where independent test/measurement results are obtained with the same method on identical test/measurement items in the same test or measuring facility by the same operator using the same equipment within short intervals of time. Note: Repeatability conditions include: the same measurement procedure or test procedure; the same operator; the same measuring or test equipment used under the same conditions; the same location and repetition over a short period of time. ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 Repeatability (Reproducibility) limit: The value less than or equal to which the absolute difference between final values, each of them representing a series of test results or measurement results obtained under repeatability (reproducibility) conditions may be expected to be with a probability of 95%. Notes: The symbol used is r [R]. {ISO } When examining two single test results obtained under repeatability (reproducibility) conditions, the comparison should be made with the repeatability (reproducibility) limit, r [R] = 2.8 r[r]. {ISO , 4.1.4} When groups of measurements are used as the basis for the calculation of the repeatability (reproducibility) limits (now called the critical difference), more complicated formulae are required that are given in ISO : 1994, and ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 ISO Accuracy (trueness and precision) of a measurement methods and results Part 6: Use in practice of accuracy value, ISO, 1994 Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007 Repeatability (reproducibility) standard deviation: Standard deviation of test results or measurement results obtained under repeatability (reproducibility) conditions. Notes: It is a measure of the dispersion of the distribution of the test or measurement results under repeatability (reproducibility) conditions. ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 Repeatability (reproducibility) relative standard deviation (coefficient of variation): Repeatability (reproducibility) standard deviation divided by the mean. RSD r[r] is computed by dividing the repeatability (reproducibility) standard deviation by the mean. Notes: Relative standard deviation (RSD) is a useful measure of precision in quantitative studies. This is done so that one can compare variability of sets with different means. RSD values are independent of the amount of analyte over a reasonable range and facilitate comparison of variabilities at different concentrations. The result of a collaborative test may be summarized by giving the RSD for repeatability (RSDr) and RSD for reproducibility (RSD R ). The RSD is also known as coefficient variation.
58 CAC/GL Page 14 of 18 ISO Standard : Vocabulary and Symbols Part 1: General statistical terms used in probability, ISO, Geneva, 2006 AOAC International methods committee guidelines for validation of qualitative and quantitative food microbiological official methods of analysis, Reproducibility conditions: Observation conditions where independent test/measurement results are obtained with the same method on identical test/measurement items in different test or measurement facilities with different operators using different equipment. ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, 2006 Result: Set of values being attributed to a measurand together with any other available relevant information Notes: A result of measurement generally contains relevant information about the set of values, such that some may be more representative of the measurand than others. This may be expressed in the form of a probability density function. A result of measurement is generally expressed as a single measured value and a measurement uncertainty. If the measurement uncertainty is considered to be negligible for some purpose, the measurement result may be expressed as a single measured value. In many fields, this is the common way of expressing a measurement result. In the traditional literature and in the previous edition of the VIM, result was defined as a value attributed to a measurand and explained to mean an indication or an uncorrected result or a corrected result according to the context. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Robustness (ruggedness): A measure of the capacity of an analytical procedure to remain unaffected by small but deliberate variations in method parameters and provides an indication of its reliability during normal usage ICH Topic Q2 Validation of Analytical Methods, the European Agency for the Evaluation of Medicinal Products: ICH Topic Q 2 A - Definitions and Terminology (CPMP/ICH/381/95), 1995 Harmonized guidelines for single laboratory validation of methods of analysis, Pure and Appl. Chem., 2002 Selectivity: Selectivity is the extent to which a method can determine particular analyte(s) in a mixture(s) or matrice(s) without interferences from other components of similar behaviour. Note: Selectivity is the recommended term in analytical chemistry to express the extent to which a particular method can determine analyte(s) in the presence other components. Selectivity can be graded. The use of the term specificity for the same concept is to be discouraged as this often leads to confusion. Selectivity in analytical chemistry, IUPAC, Pure Appl Chem, 2001 Codex Alimentarius Commission, Alinorm 04/27/23, 2004 Codex Alimentarius Commission, Procedural Manual, 17 th Edition, 2007
59 CAC/GL Page 15 of 18 Sensitivity: Quotient of the change in the indication of a measuring system and the corresponding change in the value of the quantity being measured. Notes: The sensitivity can depend on the value of the quantity being measured The change considered in the value of the quantity being measured must be large compared with the resolution of the measurement system. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Surrogate: Pure compound or element added to the test material, the chemical and physical behaviour of which is taken to be representative of the native analyte. Harmonized guidelines for the use of recovery information in analytical measurement, 1998 Systematic error: Component of measurement error that in replicate measurements remains constant or varies in a predictable manner. Notes: A reference value for a systematic error is a true quantity value, or a measured value of a measurement standard of negligible measurement uncertainty, or a conventional value. Sytematic error and its causes can be known or unknown. A correction can be applied to compensate for a known systematic error. Systematic error equals measurement error minus random measurement error. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Trueness: The closeness of agreement between the average of an infinite number of replicate measured quantity values and a reference quantity value. Note 1: Measurement trueness is not a quantity and thus cannot be expressed numerically, but measures for closeness of agreement are given in ISO Note 2: Measurement trueness is inversely related to systematic measurement error, but is not related to random measurement error. Note 3: Measurement accuracy should not be used for 'measurement trueness' and vice versa. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 True value: Quantity value consistent with the definition of a quantity. Notes: In the error approach to describing measurement, a true quantity value is considered unique and in practice unknowable. The uncertainty approach is to recognize that, owing to the inherently incomplete amount of detail in the definition of quantity, there is not a single true quantity value, but rather a set of quantity values consistent with the definition of a quantity. However, this set of values is, in principle and in practice unknowable. Other approaches dispense altogether with the concept of true quantity value and rely on the concept of metrological compatibility of measurement results for assessing their validity. When the definitional uncertainty associated with the measurand is considered to be negligible compared to the other components of the measurement uncertainty the measurand may be considered to have an essentially unique true value.
60 CAC/GL Page 16 of 18 VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Validation: Verification, where the specified requirements are adequate for an intended use. VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 Validated Test Method: An accepted test method for which validation studies have been completed to determine the accuracy and reliability of this method for a specific purpose. ICCVAM Guidelines for the nomination and submission of new, revised and alternative test methods, 2003 Validated range: That part of the concentration range of an analytical method which has been subjected to validation. Harmonized guidelines for single-laboratory validation of methods of analysis, 2002 Verification: Provision of objective evidence that a given item fulfils specified requirements. Notes: When applicable method uncertainty should be taken into consideration. The item may be e.g. a process, measuring procedure, material, compound or measuring system. The specified requirement may be that a manufacturer s specifications are met. Verification in legal metrology, as defined in VIM and in conformity assessment in general pertains to the examination and marketing and/or issuing of a verification certificate for a measuring system. Verification should not be confused with calibration. Not every verification is a validation. In chemistry, verification of the identity of the entity involved or of the activity, requires a description of the structure and properties of that entity or activity. References: VIM, International Vocabulary of Metrology Basic and general concepts and associated terms, 3 rd edition, JCGM 200: 2008 REFERENCES 1. A simple method for evaluating data from an inter-laboratory study, J AOAC, 81(6): , AOAC International Methods committee guidelines for validation of qualitative and quantitative food microbiological methods of analysis, J AOAC, 85(5): , Codex Alimentarius Commission, Food and Agriculture Organization of the United Nations, World Health Organization, Alinorm 04/27/23, Report of the twenty-fifth session of the Codex Committee on Methods of Analysis and Sampling, Codex Alimentarius Commission, Procedural Manual, 17 th Edition, Food and Agriculture Organization of the United Nations, World Health Organization, Codex Alimentarius Commission, Food and Agriculture Organization of the United Nations, World Health Organization, Guidelines on Good Laboratory Practice in Residue Analysis (CAC/GL )
61 CAC/GL Page 17 of Commission Decision of 14 August 2002 implementing council directive 96/23/EC concerning the performance of analytical methods and the interpretation of results, The Commission of the European Communities, Compendium of Analytical Nomenclature, Definitive Rules, International Union of Pure and rd Applied Chemistry, 3 Edition, Eurachem Guide: The fitness for purpose of analytical methods: A laboratory guide to method validation and related topics, Guidance document on pesticide residue analytical methods, OECD health and safety publications, series on testing and assessment No. 72 and series on pesticides No. 39, Organization for Economic Co-operation and Development, Paris, GUM, Guide to the expression of uncertainty in measurement, ISO, Geneva, Harmonised guidelines for single-laboratory validation of methods of analysis, International Union of Pure and Applied Chemistry, Pure Appl. Chem., 74(5): , Harmonized guidelines for the use of recovery information in analytical measurement, IUPAC/ISO/AOAC International/Eurachem technical report, ICCVAM Guidelines for the nomination and submission of new, revised and alternative test methods, Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM), National Institute of Environmental Health Sciences, US Department of Health and Human Services, ICH Topic Q2 Validation of Analytical Methods, The European Agency for the Evaluation of Medicinal Products: ICH Topic Q 2 A - Definitions and Terminology (CPMP/ICH/38 1/95), ILAC P-10, ILAC policy on traceability of measurement results, ISO/IEC Guide 17025:2005: General requirements for the competence of calibration and testing laboratories, ISO, Geneva, ISO Standard 11843: Capability of Detection-1, ISO, Geneva, ISO Standard : Vocabulary and Symbols Part 1: Applied Statistics, ISO, Geneva, ISO Standard : Vocabulary and Symbols Part 2: Applied Statistics, ISO, Geneva, ISO Standard : Accuracy (trueness and precision) of measurement methods and results, Part 1: General principles and definitions, ISO, Geneva, ISO Standard : Accuracy (trueness and precision) of measurement methods and results Part 3: Intermediate measures of the precision of a standard measurement method, ISO, Geneva, ISO Standard 78-2: Chemistry layouts for standards Part 2: Methods of chemical analysis, ISO, second edition, New definitions on reference materials, Accreditation and Quality Assurance, 10: , Nomenclature for the presentation of results of chemical analysis, International Union of Pure and Applied Chemistry, Pure and Applied Chemistry, 66(3): , Nomenclature in evaluation of analytical methods including detection and quantification capabilities, International Union of Pure and Applied Chemistry, Pure and Applied Chemistry, 67(10): , OIML V1:2000, International vocabulary of terms in legal metrology, Polymerase chain reaction technology as an analytical tool in agricultural biotechnology, J AOAC, 88(1): , Practical procedures to validate method performance and results for analysis of pesticides and veterinary drug residues and organic contaminants in food, A. Ambrus, International workshop on principles and practices of method validation, FAO/IAEA/AOAC/IUPAC, p.37, Budapest, Protocol for the design, conduct and interpretation of method-performance studies, International
62 CAC/GL Page 18 of 18 Union of Pure and Applied Chemistry, Pure Appl. Chem. 67(2): , Quality management and quality assurance-vocabulary ISO 8402, second edition, Recent trends in inter-laboratory precision at ppb and sub-ppb concentrations in relation to fitness for purpose criteria in proficiency testing, The Analyst, 125: , Selectivity in Analytical Chemistry, International Union of Pure and Applied Chemistry, Pure Appl. Chem., 73(8): , Terms and definitions used in connections with reference materials, ISO Guide 30: The harmonised guidelines for internal quality control in analytical chemistry laboratories, International Union of Pure and Applied Chemistry, Pure Appl. Chem., 67: , The international harmonised protocol for the proficiency testing of (chemical) analytical laboratories, International Union of Pure and Applied Chemistry, Pure Appl. Chem., 65, , Use of the terms recovery and apparent recovery in analytical procedures, International Union of Pure and Applied Chemistry, Pure Appl. Chem., 74(11): , VIM, International vocabulary of metrology - Basic and general concepts and associated terms, JCGM 200: 2008, also published as ISO/IEC Guide 99-12:2007.
63 색 인
ISO17025.PDF
ISO/IEC 17025 1999-12-15 1 2 3 4 41 42 43 44, 45 / 46 47 48 49 / 410 411 412 413 414 5 51 52 53 54 / 55 56 57 58 / 59 / 510 A( ) ISO/IEC 17025 ISO 9001:1994 ISO 9002:1994 B( ) 1 11 /, / 12 / 1, 2, 3/ (
More informationo. - ;,, -. -.. -. -. -. o (SI ). - ; (kgf/mm 2 ) -,. -. -,, - HRC, HV, HBW, o. -. O 3 - (Primary procedure) ; ISO - (Primary machine) ; NMI - (Primary reference materials) ; NMI o (ISO) (TC 164, Mechanical
More informationKOLAS-G KS Q ISO/IEC17025 /., KS Q , ( ). KS Q ISO/IEC VIM VIML ILAC-P10 ILAC KS P ISO KS P ISO KS Q IS
KOLAS-G-020 1.. KS Q ISO/IEC17025 /., KS Q 9000 3.,.. 2.. ( ). KS Q ISO/IEC 17000 - VIM VIML ILAC-P10 ILAC KS P ISO 15189 - KS P ISO 17511 - - KS Q ISO/IEC 17025 1.. KS Q ISO/IEC17025, KS P ISO 15189,
More information- 2 -
- 1 - - 2 - - 3 - - 4 - - 5 - - 6 - - 7 - - 8 - - 9 - - 10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 - - 17 - - 18 - - 19 - - 20 - - 21 - - 22 - - 23 - - 24 - - 25 - - 26 - - 27 - - 28 - - 29 - - 30 -
More information#Ȳ¿ë¼®
http://www.kbc.go.kr/ A B yk u δ = 2u k 1 = yk u = 0. 659 2nu k = 1 k k 1 n yk k Abstract Web Repertoire and Concentration Rate : Analysing Web Traffic Data Yong - Suk Hwang (Research
More information04-다시_고속철도61~80p
Approach for Value Improvement to Increase High-speed Railway Speed An effective way to develop a highly competitive system is to create a new market place that can create new values. Creating tools and
More informationDBPIA-NURIMEDIA
The e-business Studies Volume 17, Number 6, December, 30, 2016:275~289 Received: 2016/12/02, Accepted: 2016/12/22 Revised: 2016/12/20, Published: 2016/12/30 [ABSTRACT] SNS is used in various fields. Although
More information- iii - - i - - ii - - iii - 국문요약 종합병원남자간호사가지각하는조직공정성 사회정체성과 조직시민행동과의관계 - iv - - v - - 1 - - 2 - - 3 - - 4 - - 5 - - 6 - - 7 - - 8 - - 9 - - 10 - - 11 - - 12 - - 13 - - 14 - α α α α - 15 - α α α α α α
More information- i - - ii - - iii - - iv - - v - - 1 - - 2 - - 3 - - 4 - - 5 - - 6 - - 7 - - 8 - - 9 - - 10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 - - 17 - - 18 - - 19 - α α - 20 - α α α α α α - 21 - - 22 - - 23 -
More information- i - - ii - - iii - - iv - - v - - vi - - 1 - - 2 - - 3 - 1) 통계청고시제 2010-150 호 (2010.7.6 개정, 2011.1.1 시행 ) - 4 - 요양급여의적용기준및방법에관한세부사항에따른골밀도검사기준 (2007 년 11 월 1 일시행 ) - 5 - - 6 - - 7 - - 8 - - 9 - - 10 -
More informationstep 1-1
Written by Dr. In Ku Kim-Marshall STEP BY STEP Korean 1 through 15 Action Verbs Table of Contents Unit 1 The Korean Alphabet, hangeul Unit 2 Korean Sentences with 15 Action Verbs Introduction Review Exercises
More informationMicrosoft PowerPoint - ch03ysk2012.ppt [호환 모드]
전자회로 Ch3 iode Models and Circuits 김영석 충북대학교전자정보대학 2012.3.1 Email: kimys@cbu.ac.kr k Ch3-1 Ch3 iode Models and Circuits 3.1 Ideal iode 3.2 PN Junction as a iode 3.4 Large Signal and Small-Signal Operation
More informationDBPIA-NURIMEDIA
Printed in the Republic of Korea "/"-:5*$"- 4$*&/$& 5&$)/0-0(: Vol. 18, No. 5, 425-430, 2005» 677*4 Ÿ w sƒ ½»x Á Á½ k w y w, w y œw Some considerations for the analytical approaches to measure atmospheric
More information歯1.PDF
200176 .,.,.,. 5... 1/2. /. / 2. . 293.33 (54.32%), 65.54(12.13%), / 53.80(9.96%), 25.60(4.74%), 5.22(0.97%). / 3 S (1997)14.59% (1971) 10%, (1977).5%~11.5%, (1986)
More informationuntitled
Math. Statistics: Statistics? 1 What is Statistics? 1. (collection), (summarization), (analyzing), (presentation) (information) (statistics).., Survey, :, : : QC, 6-sigma, Data Mining(CRM) (Econometrics)
More information11¹Ú´ö±Ô
A Review on Promotion of Storytelling Local Cultures - 265 - 2-266 - 3-267 - 4-268 - 5-269 - 6 7-270 - 7-271 - 8-272 - 9-273 - 10-274 - 11-275 - 12-276 - 13-277 - 14-278 - 15-279 - 16 7-280 - 17-281 -
More informationmethods.hwp
1. 교과목 개요 심리학 연구에 기저하는 기본 원리들을 이해하고, 다양한 심리학 연구설계(실험 및 비실험 설계)를 학습하여, 독립된 연구자로서의 기본적인 연구 설계 및 통계 분석능력을 함양한다. 2. 강의 목표 심리학 연구자로서 갖추어야 할 기본적인 지식들을 익힘을 목적으로 한다. 3. 강의 방법 강의, 토론, 조별 발표 4. 평가방법 중간고사 35%, 기말고사
More informationPage 2 of 5 아니다 means to not be, and is therefore the opposite of 이다. While English simply turns words like to be or to exist negative by adding not,
Page 1 of 5 Learn Korean Ep. 4: To be and To exist Of course to be and to exist are different verbs, but they re often confused by beginning students when learning Korean. In English we sometimes use the
More informationhttp://www.kbc.go.kr/pds/2.html Abstract Exploring the Relationship Between the Traditional Media Use and the Internet Use Mee-Eun Kang This study examines the relationship between
More information歯M991101.PDF
2 0 0 0 2000 12 2 0 0 0 2000 12 ( ) ( ) ( ) < >. 1 1. 1 2. 5. 6 1. 7 1.1. 7 1.2. 9 1.3. 10 2. 17 3. 25 3.1. 25 3.2. 29 3.3. 29. 31 1. 31 1.1. ( ) 32 1.2. ( ) 38 1.3. ( ) 40 1.4. ( ) 42 2. 43 3. 69 4. 74.
More informationDBPIA-NURIMEDIA
27(2), 2007, 96-121 S ij k i POP j a i SEXR j i AGER j i BEDDAT j ij i j S ij S ij POP j SEXR j AGER j BEDDAT j k i a i i i L ij = S ij - S ij ---------- S ij S ij = k i POP j a i SEXR j i AGER j i BEDDAT
More informationDBPIA-NURIMEDIA
The e-business Studies Volume 17, Number 4, August, 30, 2016:319~332 Received: 2016/07/28, Accepted: 2016/08/28 Revised: 2016/08/27, Published: 2016/08/30 [ABSTRACT] This paper examined what determina
More informationÆ÷Àå½Ã¼³94š
Cho, Mun Jin (E-mail: mjcho@ex.co.kr) ABSTRACT PURPOSES : The performance of tack coat, commonly used for layer interface bonding, is affected by application rate and curing time. In this study, bonding
More information2
02 1 1 22 36 38 46 5 1 54 61 65 77 81 2 _ 3 4 _ 5 6 _7 8 _ 9 1 0 _ 11 1 2 _ 13 1 4 _ 15 1 6 _ 17 1 8 _ 19 2 0 _ 21 2 2 www.kats.go.kr www.kats.go.kr _ 23 Scope of TC/223 Societal security International
More information발간등록번호 학술연구용역과제최종결과보고서 국민건강영양조사제기 차년도 영양조사질관리및전자조사표도입을위한사전조사실시 Quality Control and a Preliminary Study on Computer Assisted Personal Interview System for Nutrition Survey of KNHANES (2013) 주관연구기관 한국보건산업진흥원
More informationJournal of Educational Innovation Research 2017, Vol. 27, No. 2, pp DOI: : Researc
Journal of Educational Innovation Research 2017, Vol. 27, No. 2, pp.251-273 DOI: http://dx.doi.org/10.21024/pnuedi.27.2.201706.251 : 1997 2005 Research Trend Analysis on the Korean Alternative Education
More information서론
- i - - ii - - iii - - iv - - v - - vi - - 1 - - 2 - - 3 - - 4 - - 5 - - 6 - - 7 - - 8 - - 9 - - 10 - - 11 - - 12 - - 13 - - 14 - - 15 - - 16 - - 17 - - 18 - - 19 - - 20 - - 21 - - 22 - - 23 - - 24 - -
More information<BFA9BAD02DB0A1BBF3B1A4B0ED28C0CCBCF6B9FC2920B3BBC1F62E706466>
001 002 003 004 005 006 008 009 010 011 2010 013 I II III 014 IV V 2010 015 016 017 018 I. 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 III. 041 042 III. 043
More informationCan032.hwp
Chromosomal Alterations in Hepatocellular Carcinoma Cell Lines Detected by Comparative Genomic Hybridization Sang Jin Park 1, Mahn Joon Ha, Ph.D. 1, Hugh Chul Kim, M.D. 2 and Hyon Ju Kim, M.D. 1 1 Laboratory
More information` Companies need to play various roles as the network of supply chain gradually expands. Companies are required to form a supply chain with outsourcing or partnerships since a company can not
More information204 205
-Road Traffic Crime and Emergency Evacuation - 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 Abstract Road Traffic Crime
More informationOutput file
240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 An Application for Calculation and Visualization of Narrative Relevance of Films Using Keyword Tags Choi Jin-Won (KAIST) Film making
More information........pdf 16..
Abstract Prospects of and Tasks Involving the Policy of Revitalization of Traditional Korean Performing Arts Yong-Shik, Lee National Center for Korean Traditional Performing Arts In the 21st century, the
More information.,,,,,,.,,,,.,,,,,, (, 2011)..,,, (, 2009)., (, 2000;, 1993;,,, 1994;, 1995), () 65, 4 51, (,, ). 33, 4 30, (, 201
4 21.,,,.,,. 1, 2, 3, 4.,,,,,,.,,,,., ( ). 60-66,,,,,.. (Corresponding Author): / / 303 Tel: 063-220-2495/ E-mail: ikkim@jj.ac.kr .,,,,,,.,,,,.,,,,,, (, 2011)..,,, (, 2009)., (, 2000;, 1993;,,, 1994;,
More informationPage 2 of 6 Here are the rules for conjugating Whether (or not) and If when using a Descriptive Verb. The only difference here from Action Verbs is wh
Page 1 of 6 Learn Korean Ep. 13: Whether (or not) and If Let s go over how to say Whether and If. An example in English would be I don t know whether he ll be there, or I don t know if he ll be there.
More information歯kjmh2004v13n1.PDF
13 1 ( 24 ) 2004 6 Korean J Med Hist 13 1 19 Jun 2004 ISSN 1225 505X 1) * * 1 ( ) 2) 3) 4) * 1) ( ) 3 2) 7 1 3) 2 1 13 1 ( 24 ) 2004 6 5) ( ) ( ) 2 1 ( ) 2 3 2 4) ( ) 6 7 5) - 2003 23 144-166 2 2 1) 6)
More information... 수시연구 국가물류비산정및추이분석 Korean Macroeconomic Logistics Costs in 권혁구ㆍ서상범...
... 수시연구 2013-01.. 2010 국가물류비산정및추이분석 Korean Macroeconomic Logistics Costs in 2010... 권혁구ㆍ서상범... 서문 원장 김경철 목차 표목차 그림목차 xi 요약 xii xiii xiv xv xvi 1 제 1 장 서론 2 3 4 제 2 장 국가물류비산정방법 5 6 7 8 9 10 11 12 13
More information대한한의학원전학회지26권4호-교정본(1125).hwp
http://www.wonjeon.org http://dx.doi.org/10.14369/skmc.2013.26.4.267 熱入血室證에 대한 小考 1 2 慶熙大學校大學校 韓醫學科大學 原典學敎室 韓醫學古典硏究所 白裕相1, 2 *117) A Study on the Pattern of 'Heat Entering The Blood Chamber' 1, Baik 1
More information서론 34 2
34 2 Journal of the Korean Society of Health Information and Health Statistics Volume 34, Number 2, 2009, pp. 165 176 165 진은희 A Study on Health related Action Rates of Dietary Guidelines and Pattern of
More informationDBPIA-NURIMEDIA
e- 비즈니스연구 (The e-business Studies) Volume 17, Number 1, February, 28, 2016:pp. 293~316 ISSN 1229-9936 (Print), ISSN 2466-1716 (Online) 원고접수일심사 ( 수정 ) 게재확정일 2015. 12. 04 2015. 12. 24 2016. 02. 25 ABSTRACT
More information182 동북아역사논총 42호 금융정책이 조선에 어떤 영향을 미쳤는지를 살펴보고자 한다. 일제 대외금융 정책의 기본원칙은 각 식민지와 점령지마다 별도의 발권은행을 수립하여 일본 은행권이 아닌 각 지역 통화를 발행케 한 점에 있다. 이들 통화는 일본은행권 과 等 價 로 연
越 境 하는 화폐, 분열되는 제국 - 滿 洲 國 幣 의 조선 유입 실태를 중심으로 181 越 境 하는 화폐, 분열되는 제국 - 滿 洲 國 幣 의 조선 유입 실태를 중심으로 - 조명근 고려대학교 BK21+ 한국사학 미래인재 양성사업단 연구교수 Ⅰ. 머리말 근대 국민국가는 대내적으로는 특정하게 구획된 영토에 대한 배타적 지배와 대외적 자주성을 본질로 하는데, 그
More information2 동북아역사논총 50호 구권협정으로 해결됐다 는 일본 정부의 주장에 대해, 일본군 위안부 문제는 일 본 정부 군 등 국가권력이 관여한 반인도적 불법행위이므로 한일청구권협정 에 의해 해결된 것으로 볼 수 없다 는 공식 입장을 밝혔다. 또한 2011년 8월 헌 법재판소는
일본군 위안부 피해자 구제에 관한 일고( 一 考 ) 1 일본군 위안부 피해자 구제에 관한 일고( 一 考 ) 김관원 / 동북아역사재단 연구위원 Ⅰ. 머리말 일본군 위안부 문제가 한일 간 현안으로 불거지기 시작한 것은 일본군 위안부 피해를 공개 증언한 김학순 할머니 등이 일본에서 희생자 보상청구 소송을 제 기한 1991년부터다. 이때 일본 정부는 일본군이 위안부
More information<32382DC3BBB0A2C0E5BED6C0DA2E687770>
논문접수일 : 2014.12.20 심사일 : 2015.01.06 게재확정일 : 2015.01.27 청각 장애자들을 위한 보급형 휴대폰 액세서리 디자인 프로토타입 개발 Development Prototype of Low-end Mobile Phone Accessory Design for Hearing-impaired Person 주저자 : 윤수인 서경대학교 예술대학
More informationJournal of Educational Innovation Research 2017, Vol. 27, No. 1, pp DOI: NCS : G * The Analy
Journal of Educational Innovation Research 2017, Vol. 27, No. 1, pp.133-158 DOI: http://dx.doi.org/10.21024/pnuedi.27.1.201703.133 NCS : G * The Analysis of the Cognitive Level of Basic Job Skills of Specialized
More informationCoriolis.hwp
MCM Series 주요특징 MaxiFlo TM (맥시플로) 코리올리스 (Coriolis) 질량유량계 MCM 시리즈는 최고의 정밀도를 자랑하며 슬러리를 포함한 액체, 혼합 액체등의 질량 유량, 밀도, 온도, 보정된 부피 유량을 측정할 수 있는 질량 유량계 이다. 단일 액체 또는 2가지 혼합액체를 측정할 수 있으며, 강한 노이즈 에도 견디는 면역성, 높은 정밀도,
More information12È«±â¼±¿Ü339~370
http://www.kbc.go.kr/ k Si 2 i= 1 Abstract A Study on Establishment of Fair Trade Order in Terrestrial Broadcasting Ki - Sun Hong (Professor, Dept. of Journalism & Mass Communication,
More information<28BCF6BDC320323031352D31332920B0E6B1E2B5B520C1F6BFAABAB020BFA9BCBAC0CFC0DAB8AE20C1A4C3A520C3DFC1F8C0FCB7AB5FC3D6C1BE2830312E3036292E687770>
수시과제 2015-13 경기도 지역별 여성일자리 정책 추진 전략 연구책임자 : 최 윤 선 (본원선임연구위원) : 남 승 연 (본원연구위원) 연 구 지 원 : 이 상 아 (본원위촉연구원) 연 구 기 간 : 2015. 9 ~12 2015 발 간 사 여성 일자리는 사회 내 여성과 남성간의 차이를 좁히고 개개인의 삶을 윤택하게 만드는 중요 한 부분입니다. 이에 정부는
More information민속지_이건욱T 최종
441 450 458 466 474 477 480 This book examines the research conducted on urban ethnography by the National Folk Museum of Korea. Although most people in Korea
More information2 환경법과 정책 제16권(2016.2.28.) Ⅰ. 들어가며 Ⅱ. 가습기살균제 사건의 경과 Ⅲ. 가습기살균제 사건과 제조물 책임 Ⅳ. 가습기살균제 사건과 인과관계 입증 완화 Ⅴ. 나가며 Ⅰ. 들어가며 피해유발행위(혹은 인자)가 직접적인 손해를 즉각적으로 유발하는 경우
가습기 살균제 사건의 민사적 쟁점: 제조물책임과 인과관계 입증 송 정 은* 1)정 남 순**2) 가습기살균제를 사용함으로써 손해를 입은 피해자들은 현재 가습기살균제를 제조 및 판매한 업 체를 상대로 손해배상소송을 진행하고 있다. 가습기살균제 사건은 고도의 기술이 집약되어 대량으 로 생산되는 제품의 결함으로 인하여 피해자에게 손해가 발생한 사안으로
More information05-08 087ÀÌÁÖÈñ.hwp
산별교섭에 대한 평가 및 만족도의 영향요인 분석(이주희) ꌙ 87 노 동 정 책 연 구 2005. 제5권 제2호 pp. 87118 c 한 국 노 동 연 구 원 산별교섭에 대한 평가 및 만족도의 영향요인 분석: 보건의료노조의 사례 이주희 * 2004,,,.. 1990. : 2005 4 7, :4 7, :6 10 * (jlee@ewha.ac.kr) 88 ꌙ 노동정책연구
More information09È«¼®¿µ5~152s
Korean Journal of Remote Sensing, Vol.23, No.2, 2007, pp.45~52 Measurement of Backscattering Coefficients of Rice Canopy Using a Ground Polarimetric Scatterometer System Suk-Young Hong*, Jin-Young Hong**,
More information03 장태헌.hwp
THE JOURNAL OF KOREAN INSTITUTE OF ELECTROMAGNETIC ENGINEERING AND SCIENCE. 2013 Aug.; 24(8), 772 780. http://dx.doi.org/10.5515/kjkiees.2013.24.8.772 ISSN 1226-3133 (Print) ISSN 2288-226X (Online) HEMP
More informationexample code are examined in this stage The low pressure pressurizer reactor trip module of the Plant Protection System was programmed as subject for
2003 Development of the Software Generation Method using Model Driven Software Engineering Tool,,,,, Hoon-Seon Chang, Jae-Cheon Jung, Jae-Hack Kim Hee-Hwan Han, Do-Yeon Kim, Young-Woo Chang Wang Sik, Moon
More information<30362E20C6EDC1FD2DB0EDBFB5B4EBB4D420BCF6C1A42E687770>
327 Journal of The Korea Institute of Information Security & Cryptology ISSN 1598-3986(Print) VOL.24, NO.2, Apr. 2014 ISSN 2288-2715(Online) http://dx.doi.org/10.13089/jkiisc.2014.24.2.327 개인정보 DB 암호화
More informationÁ¶´öÈñ_0304_final.hwp
제조 중소기업의 고용창출 성과 및 과제 조덕희 양현봉 우리 경제에서 일자리 창출은 가장 중요한 정책과제입니다. 근래 들어 우리 사회에서 점차 심각성을 더해 가고 있는 청년 실업 문제에 대처하고, 사회적 소득 양극화 문제에 대응하기 위해서도 일자리 창 출은 무엇보다도 중요한 정책과제일 것입니다. 고용창출에서는 중소기업의 역할이 대기업보다 크다는 것이 일반적
More information석사논문.PDF
ABO Rh A study on the importance of ABO and Rh blood groups information in Public Health 2000 2 1 ABO Rh A study on the importance of ABO and Rh blood groups information in Public Health 2000 2 2 ABO Rh
More information10송동수.hwp
종량제봉투의 불법유통 방지를 위한 폐기물관리법과 조례의 개선방안* 1) 송 동 수** 차 례 Ⅰ. 머리말 Ⅱ. 종량제봉투의 개요 Ⅲ. 종량제봉투의 불법유통사례 및 방지대책 Ⅳ. 폐기물관리법의 개선방안 Ⅴ. 지방자치단체 조례의 개선방안 Ⅵ. 결론 국문초록 1995년부터 쓰레기 종량제가 시행되면서 각 지방자치단체별로 쓰레기 종량제 봉투가 제작, 판매되기 시작하였는데,
More information전용]
A Study of select the apropos processing mechanical method by the presume of transformation of teeth s surface degree ABSTRACT This study has been tried to select the apropos processing method by the
More information16-기06 환경하중237~246p
Study on Jointing System of Airport Concrete Pavement Considering Environmental Loading The environmental load on concrete pavement can be categorized into temperature and moisture loads which include
More information슬라이드 1
CJ 2007 CONTENTS 2006 CJ IR Presentation Overview 4 Non-performing Asset Company Profile Vision & Mission 4 4 - & 4-4 - & 4 - - - - ROE / EPS - - DreamWorks Animation Net Asset Value (NAV) Disclaimer IR
More informationPJTROHMPCJPS.hwp
제 출 문 농림수산식품부장관 귀하 본 보고서를 트위스트 휠 방식 폐비닐 수거기 개발 과제의 최종보고서로 제출 합니다. 2008년 4월 24일 주관연구기관명: 경 북 대 학 교 총괄연구책임자: 김 태 욱 연 구 원: 조 창 래 연 구 원: 배 석 경 연 구 원: 김 승 현 연 구 원: 신 동 호 연 구 원: 유 기 형 위탁연구기관명: 삼 생 공 업 위탁연구책임자:
More informationIntroduction 신뢰성 있는 결과 높은 품질의 제품을 생산하기 위해서는 제품의 공정 시스템이 중요 품질관리실험실은 품질보증과정에서 매우 중요한 역할 분석시스템은 품질관리실험실의 매우 중요한 요소 분석시스템의 결과를 기본으로 하여 제품의 품질을 결정 R&D 실험실
적정의 올바른 분석방법 Kopack Seminar May 2012 Agenda Introduction Risks and Measures Summary 1 1 Introduction 신뢰성 있는 결과 높은 품질의 제품을 생산하기 위해서는 제품의 공정 시스템이 중요 품질관리실험실은 품질보증과정에서 매우 중요한 역할 분석시스템은 품질관리실험실의 매우 중요한 요소
More informationl l l l l l l l l Lee, Geon Kook None This project was designed to establish the Tumor Bank of National Cancer Center in 2000. From the first tumor sample in 2000, the total of tumor and tumor-related
More information,,,,,,, ,, 2 3,,,,,,,,,,,,,,,, (2001) 2
2004- - : 2004 5 11 :?,,,,,? Sen (human capability) 1?,, I 1 2 1 Sen A Why health equity? Health Econ 2002:11;659-666 2 1991 p 17 1 ,,,,,,, 20 1 2,, 2 3,,,,,,,,,,,,,,,, 3 3 1 (2001) 2 1),, 2), 2),, 3),,,
More information300 구보학보 12집. 1),,.,,, TV,,.,,,,,,..,...,....,... (recall). 2) 1) 양웅, 김충현, 김태원, 광고표현 수사법에 따른 이해와 선호 효과: 브랜드 인지도와 의미고정의 영향을 중심으로, 광고학연구 18권 2호, 2007 여름
동화 텍스트를 활용한 패러디 광고 스토리텔링 연구 55) 주 지 영* 차례 1. 서론 2. 인물의 성격 변화에 의한 의미화 전략 3. 시공간 변화에 의한 의미화 전략 4. 서사의 변개에 의한 의미화 전략 5. 창조적인 스토리텔링을 위하여 6. 결론 1. 서론...., * 서울여자대학교 초빙강의교수 300 구보학보 12집. 1),,.,,, TV,,.,,,,,,..,...,....,...
More information278 경찰학연구제 12 권제 3 호 ( 통권제 31 호 )
여성경찰관의직업윤리의식결정요인분석 * An Analysis of Determinantal Factors Influencing Professional Ethical Standards of South Korean Police Women 신문희 ** 이영민 *** Ⅰ. 서론 Ⅱ. 이론적배경 Ⅲ. 연구방법 Ⅳ. 연구결과 Ⅴ. 결론 Ⅰ. 서론 278 경찰학연구제 12
More informationCrt114( ).hwp
cdna Microarray Experiment: Design Issues in Early Stage and the Need of Normalization Byung Soo Kim, Ph.D. 1, Sunho Lee, Ph.D. 2, Sun Young Rha, M.D., Ph.D. 3,4 and Hyun Cheol Chung, M.D., Ph.D. 3,4 1
More information2017.09 Vol.255 C O N T E N T S 02 06 26 58 63 78 99 104 116 120 122 M O N T H L Y P U B L I C F I N A N C E F O R U M 2 2017.9 3 4 2017.9 6 2017.9 7 8 2017.9 13 0 13 1,007 3 1,004 (100.0) (0.0) (100.0)
More informationJournal of Educational Innovation Research 2018, Vol. 28, No. 4, pp DOI: * A Research Trend
Journal of Educational Innovation Research 2018, Vol. 28, No. 4, pp.295-318 DOI: http://dx.doi.org/10.21024/pnuedi.28.4.201812.295 * A Research Trend on the Studies related to Parents of Adults with Disabilities
More informationProblem New Case RETRIEVE Learned Case Retrieved Cases New Case RETAIN Tested/ Repaired Case Case-Base REVISE Solved Case REUSE Aamodt, A. and Plaza, E. (1994). Case-based reasoning; Foundational
More informationMicrosoft PowerPoint - Ieee standard pptx
200511316 김형석 Test plan Test design specification Test case specification Test procedure specification Test item transmittal report Test log Test incident report Test summary report Purpose -The purpose
More informationOutput file
connect educational content with entertainment content and that production of various contents inducing educational motivation is important. Key words: edutainment, virtual world, fostering simulation
More information<303933305FC7D1BEE7B4EB2DB9FDC7D0B3EDC3D132382D332E687770>
주취운전죄와 관련된 최근의 입법과 판례의 동향 박 찬 걸 * < 目 次 > Ⅰ. 문제의 소재 Ⅲ. 행위의 방법( 자동차 등을 운전하여 )과 Ⅱ. 행위의 주체( 술에 취한 상태에 있는 자 ) 관련된 동향 와 관련된 동향 Ⅳ. 글을 마치며 Ⅰ. 문제의 소재 도로교통법 1) 제44조에 의하면 누구든지 술에 취한 상태에서 자동차 등을 운전하여서는 아 니 되며(제1항),
More informationJournal of Educational Innovation Research 2018, Vol. 28, No. 3, pp DOI: NCS : * A Study on
Journal of Educational Innovation Research 2018, Vol. 28, No. 3, pp.157-176 DOI: http://dx.doi.org/10.21024/pnuedi.28.3.201809.157 NCS : * A Study on the NCS Learning Module Problem Analysis and Effective
More informationRheu-suppl hwp
Objective: This paper reviews the existing Korean medical and public health, and nursing academy articles on disease-specific and domain-specific quality of life, and provides recommendations for the universally
More information°í¼®ÁÖ Ãâ·Â
Performance Optimization of SCTP in Wireless Internet Environments The existing works on Stream Control Transmission Protocol (SCTP) was focused on the fixed network environment. However, the number of
More information¹ýÁ¶ 12¿ù ¼öÁ¤.PDF
논문요약 146 [ 주제어 ] 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 abstract Recent Development in the Law of DPRK on the
More informationJournal of Educational Innovation Research 2017, Vol. 27, No. 3, pp DOI: (NCS) Method of Con
Journal of Educational Innovation Research 2017, Vol. 27, No. 3, pp.181-212 DOI: http://dx.doi.org/10.21024/pnuedi.27.3.201709.181 (NCS) Method of Constructing and Using the Differentiated National Competency
More information국립국어원 20010-00-00 발간등록번호 00-000000-000000-00 국어정책 통계 조사 및 통계 연보 작성 연구책임자 이순영 제 출 문 국립국어원장 귀하 국어정책 통계 조사 및 통계 연보 작성 에 관하여 귀 원과 체결한 연 구 용역 계약에 의하여 연구 보고서를 작성하여 제출합니다. 2010년 12월 2일 연구책임자: 이순영(고려대학교 국어교육과)
More information0125_ 워크샵 발표자료_완성.key
WordPress is a free and open-source content management system (CMS) based on PHP and MySQL. WordPress is installed on a web server, which either is part of an Internet hosting service or is a network host
More information저작자표시 - 비영리 - 변경금지 2.0 대한민국 이용자는아래의조건을따르는경우에한하여자유롭게 이저작물을복제, 배포, 전송, 전시, 공연및방송할수있습니다. 다음과같은조건을따라야합니다 : 저작자표시. 귀하는원저작자를표시하여야합니다. 비영리. 귀하는이저작물을영리목적으로이용할
저작자표시 - 비영리 - 변경금지 2.0 대한민국 이용자는아래의조건을따르는경우에한하여자유롭게 이저작물을복제, 배포, 전송, 전시, 공연및방송할수있습니다. 다음과같은조건을따라야합니다 : 저작자표시. 귀하는원저작자를표시하여야합니다. 비영리. 귀하는이저작물을영리목적으로이용할수없습니다. 변경금지. 귀하는이저작물을개작, 변형또는가공할수없습니다. 귀하는, 이저작물의재이용이나배포의경우,
More informationGEAR KOREA
GEAR Original Equipment Manufacturing Gears Support your various needs with our world class engineering skill and the newest manufacturing facilities. 1 2 Nissei creates high-quality high-precision gears
More information레이아웃 1
i g d e d mod, t d e d e d mod, t e,0 e, n s,0 e,n e,0 Division of Workers' Compensation (2009). Iowa workers' compensation manual. Gamber, E. N. & Sorensen, R. L. (1994). Are net discount rates stationary?:
More information<31335FB1C7B0E6C7CABFDC2E687770>
에너지기후변화교육 4(2):203~211(2014) 203 초등학교 교과서 에너지 단원의 탐구활동과 시각자료 기능 분석 사례 연구 신명경 권경필 * 경인교육대학교 Abstract : This study aimed to analyze energy related inquiry activity and visual materials in elementary textbook.
More informationMicrosoft PowerPoint - AC3.pptx
Chapter 3 Block Diagrams and Signal Flow Graphs Automatic Control Systems, 9th Edition Farid Golnaraghi, Simon Fraser University Benjamin C. Kuo, University of Illinois 1 Introduction In this chapter,
More information#KM-250(PB)
PARTS BOOK FOR 1-NEEDLE, STRAIGHT LOCK-STITCH MACHINE SERIES KM-250AU-7S KM-250AU-7N KM-250A-7S KM-250A-7N KM-250B-7S KM-250B-7N KM-250BH-7S KM-250BH-7N KM-250BL-7S KM-250BL-7N KM-250AU KM-250A KM-250B
More informationY 1 Y β α β Independence p qp pq q if X and Y are independent then E(XY)=E(X)*E(Y) so Cov(X,Y) = 0 Covariance can be a measure of departure from independence q Conditional Probability if A and B are
More informationDBPIA-NURIMEDIA
The e-business Studies Volume 17, Number 6, December, 30, 2016:21~34 Received: 2016/12/04, Accepted: 2016/12/27 Revised: 2016/12/19, Published: 2016/12/30 [ABSTRACT] With the development of the Internet,
More information목차 ⅰ ⅲ ⅳ Abstract v Ⅰ Ⅱ Ⅲ i
11-1480523-000748-01 배경지역 ( 백령도 ) 에서의 대기오염물질특성연구 (Ⅲ) 기후대기연구부대기환경연구과,,,,,,, Ⅲ 2010 목차 ⅰ ⅲ ⅳ Abstract v Ⅰ Ⅱ Ⅲ i 목차 Ⅳ ii 목차 iii 목차 iv 목차 μg m3 μg m3 v 목차 vi Ⅰ. 서론 Ⅰ μm μg m3 1 Ⅰ. 서론 μg m3 μg m3 μg m3 μm 2
More informationIKC43_06.hwp
2), * 2004 BK21. ** 156,..,. 1) (1909) 57, (1915) 106, ( ) (1931) 213. 1983 2), 1996. 3). 4) 1),. (,,, 1983, 7 12 ). 2),. 3),, 33,, 1999, 185 224. 4), (,, 187 188 ). 157 5) ( ) 59 2 3., 1990. 6) 7),.,.
More information06_ÀÌÀçÈÆ¿Ü0926
182 183 184 / 1) IT 2) 3) IT Video Cassette Recorder VCR Personal Video Recorder PVR VCR 4) 185 5) 6) 7) Cloud Computing 8) 186 VCR P P Torrent 9) avi wmv 10) VCR 187 VCR 11) 12) VCR 13) 14) 188 VTR %
More informationÆ÷Àå82š
Yun, Ilsoo (E-mail : ilsooyun@ajou.ac.kr) Oh, Cheol (E-mail : cheolo@hanyang.ac.k) Ahn, Hyunkyung (E-mail : anhyunkyung@ajou.ac.kr) Kim, Kyunghyun (E-mail : kk6661@ajou.ac.kr) Han, Eum (E-mail : hano3106@ajou.ac.kr)
More informationPowerPoint 프레젠테이션
EBC (Equipment Behaviour Catalogue) - ISO TC 184/SC 5/SG 4 신규표준이슈 - 한국전자통신연구원김성혜 목차 Prologue: ISO TC 184/SC 5 그룹 SG: Study Group ( 표준이슈발굴 ) WG: Working Group ( 표준개발 ) 3 EBC 배경 제안자 JISC (Japanese Industrial
More information<C7A5C1F620BEE7BDC4>
연세대학교 상경대학 경제연구소 Economic Research Institute Yonsei Universit 서울시 서대문구 연세로 50 50 Yonsei-ro, Seodaemun-gS gu, Seoul, Korea TEL: (+82-2) 2123-4065 FAX: (+82- -2) 364-9149 E-mail: yeri4065@yonsei.ac. kr http://yeri.yonsei.ac.kr/new
More informationBuy one get one with discount promotional strategy
Buy one get one with discount Promotional Strategy Kyong-Kuk Kim, Chi-Ghun Lee and Sunggyun Park ISysE Department, FEG 002079 Contents Introduction Literature Review Model Solution Further research 2 ISysE
More informationJournal of Educational Innovation Research 2018, Vol. 28, No. 1, pp DOI: A study on Characte
Journal of Educational Innovation Research 2018, Vol. 28, No. 1, pp.381-404 DOI: http://dx.doi.org/10.21024/pnuedi.28.1.201803.381 A study on Characteristics of Action Learning by Analyzing Learners Experiences
More information(Exposure) Exposure (Exposure Assesment) EMF Unknown to mechanism Health Effect (Effect) Unknown to mechanism Behavior pattern (Micro- Environment) Re
EMF Health Effect 2003 10 20 21-29 2-10 - - ( ) area spot measurement - - 1 (Exposure) Exposure (Exposure Assesment) EMF Unknown to mechanism Health Effect (Effect) Unknown to mechanism Behavior pattern
More informationDBPIA-NURIMEDIA
FPS게임 구성요소의 중요도 분석방법에 관한 연구 2 계층화 의사결정법에 의한 요소별 상관관계측정과 대안의 선정 The Study on the Priority of First Person Shooter game Elements using Analytic Hierarchy Process 주 저 자 : 배혜진 에이디 테크놀로지 대표 Bae, Hyejin AD Technology
More information04_이근원_21~27.hwp
1) KIGAS Vol. 16, No. 5, pp 21~27, 2012 (Journal of the Korean Institute of Gas) http://dx.doi.org/10.7842/kigas.2012.16.5.21 실험실의 사례 분석에 관한 연구 이근원 이정석 한국산업안전보건공단 산업안전보건연구원 (2012년 9월 5일 투고, 2012년 10월 19일
More information<B3EDB9AEC1FD5F3235C1FD2E687770>
경상북도 자연태음악의 소박집합, 장단유형, 전단후장 경상북도 자연태음악의 소박집합, 장단유형, 전단후장 - 전통 동요 및 부녀요를 중심으로 - 이 보 형 1) * 한국의 자연태 음악 특성 가운데 보편적인 특성은 대충 밝혀졌지만 소박집합에 의한 장단주기 박자유형, 장단유형, 같은 층위 전후 구성성분의 시가( 時 價 )형태 등 은 밝혀지지 않았으므로
More information